Introduces probability and statistics in data analysis with emphasis on astronomical applications. Topics include probability, Bayes' theorem, statistics, error analysis, correlation, hypothesis testing, parameter estimation, surveys, time-series analysis, surface distributions, and image processing. Students learn to identify the appropriate statistical technique to apply to an astronomical problem and develop a portfolio of analytic and computational techniques that they can apply to their own research.